Aaron L. Goldman

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 7

Top Topics

Convolutional Network

Text Localization And Recognition

Top Venues

Medical Imaging: Image Processing

Frontiers Neuroinformatics

Publications

Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Daniel R. Weinberger, Archana Venkataraman
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease. ICLR (2022)
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space. NeuroImage 238 (2021)
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification. CoRR (2021)
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification. Medical Imaging: Image Processing (2021)
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia. Medical Imaging: Image Processing (2019)
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework. MICCAI (4) (2019)
Ricardo Pizarro, Xi Cheng, Alan S. Barnett, Hervé Lemaître, Beth A. Verchinski, Aaron L. Goldman, Ena Xiao, Qian Luo, Karen Faith Berman, Joseph H. Callicott, Daniel R. Weinberger, Venkata S. Mattay
Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm. Frontiers Neuroinformatics 10 (2016)